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metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis

The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 5 'Small-Study Effects in Meta-Analysis': - Copas selection model described in Copas & Shi (2001) <doi:10.1177/096228020101000402>; - limit meta-analysis by Rücker et al. (2011) <doi:10.1093/biostatistics/kxq046>; - upper bound for outcome reporting bias by Copas & Jackson (2004) <doi:10.1111/j.0006-341X.2004.00161.x>; - imputation methods for missing binary data by Gamble & Hollis (2005) <doi:10.1016/j.jclinepi.2004.09.013> and Higgins et al. (2008) <doi:10.1177/1740774508091600>; - LFK index test and Doi plot by Furuya-Kanamori et al. (2018) <doi:10.1097/XEB.0000000000000141>.

Version: 1.5-2
Depends: meta (≥ 5.5-0)
Published: 2023-02-28
DOI: 10.32614/CRAN.package.metasens
Author: Guido Schwarzer ORCID iD [cre, aut], James R. Carpenter ORCID iD [aut], Gerta Rücker ORCID iD [aut]
Maintainer: Guido Schwarzer <guido.schwarzer at uniklinik-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/guido-s/metasens https://link.springer.com/book/10.1007/978-3-319-21416-0
NeedsCompilation: no
Materials: NEWS
In views: ClinicalTrials, MetaAnalysis, MissingData
CRAN checks: metasens results

Documentation:

Reference manual: metasens.pdf

Downloads:

Package source: metasens_1.5-2.tar.gz
Windows binaries: r-devel: metasens_1.5-2.zip, r-release: metasens_1.5-2.zip, r-oldrel: metasens_1.5-2.zip
macOS binaries: r-release (arm64): metasens_1.5-2.tgz, r-oldrel (arm64): metasens_1.5-2.tgz, r-release (x86_64): metasens_1.5-2.tgz, r-oldrel (x86_64): metasens_1.5-2.tgz
Old sources: metasens archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=metasens to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.